code: def get_data_path():
      if not os.path.exists(
          join(dataset_dir, "jpg", delimiter, "train")
      ):
          _download_dataset()
      train_folder = dataset_dir + "jpg" + delimiter + "train"
      test_folder = dataset_dir + "jpg" + delimiter + "test"
      return train_folder, test_folder
  
file_path: SynapseML/deep-learning/src/test/python/synapsemltest/dl/conftest.py
imports: import os
  import shutil
  import subprocess
  import urllib
  from os.path import join
  import numpy
  import pandas
  import pytest
  import torchvision.transforms
  from pyspark.ml.feature import StringIndexer
label_desc: Use image node_id 2 for calling a global function with example usage: get_data_path() and returns: train_folder,  test_folder